Age, body composition, aerobic fitness and health condition as risk factors for musculoskeletal injuries in conscripts

• Published in: Scandinavian journal of medicine & science in sports 1996-08, Vol.6 (4), p.222-227
• Main Authors: Heir, T., Eide, G.
• Format: Article
• Language: English
• Subjects: Achilles Tendon; Adolescent; Adult; Aerobiosis; Age Factors; Analysis of Variance; Biological and medical sciences; Body Composition; Body Height; Body Mass Index; Body Weight; Bone and Bones - injuries; Compartment Syndromes - etiology; Cumulative Trauma Disorders - etiology; Diseases of the osteoarticular system; exercise; Health Status; Humans; Juxtaarticular diseases. Extraarticular rhumatism; Knee Injuries - etiology; Logistic Models; Low Back Pain - etiology; Male; Medical sciences; Mental Health; military personnel; Military Personnel - education; Motor Activity; multivariate analysis; Muscle, Skeletal - injuries; musculoskeletal injuries; overuse injuries; Periostitis - etiology; physical activity; Physical Fitness; physical training; Risk Factors; Running - physiology; Tendinopathy - etiology
• ISSN: 0905-7188; 1600-0838
• DOI: 10.1111/j.1600-0838.1996.tb00095.x

Musculoskeletal injuries occur frequently in connection with physical activity. More information was sought on pretraining factors that may predispose to such injuries. Data were obtained on the age, height, weight, aerobic fitness as measured by a 3000‐m run test, and health as assessed on the basis of a medical examination, of 912 male conscripts prior to an 8‐week period of basic military and physical training. Injuries were registered as they occurred by doctors attached to the training camp. Every fourth to fifth conscript suffered one or more musculo‐skeletal injuries during basic training. Achilles tendinitis, low back pain, periostitis or compartment syndromes, and overuse knee injuries were the most frequent diagnosis groups. In 74% of the injuries, a tentative cause was related to organized service activities. According to univariate analyses, risk factors were age over 23 years, high body mass index (BMI), slow run times and dysfunctions of the back or lower limbs. A lower classification of mental health, but not dysfunctions of the lower limbs, was an additional risk factor if only injuries with causes connected with organized service activities were considered. Height and weight were not associated with injuries. In multiple logistic regression analysis, age and 3000‐m run times were masked by correction for BMI, while BMI, dysfunctions of the back and lower limbs, and reduced mental health showed the same significance as in the univariate analyses.